```
library(deSolve)
CCHFSimpleSIR = function(t, x, params)
{
# get SIR values
SH = x[1]
EH = x[2]
IH = x[3]
RH = x[4]
ST = x[5]
ET = x[6]
IT = x[7]
# Beta values
betaHH = params["betaHH"]
betaTH = params["betaTH"]
betaTTV = params["betaTTV"]
betaTTH = params["betaTTH"]
gamma = params["gamma"]
muH = params["muH"]
muT = params["muT"]
# birth rates
piH = params["piH"]
piT = params["piT"]
deltaH1 = params["deltaH1"]
deltaT = params["deltaT"]
# recovery rate
alpha = params["alpha"]
#computations
dSHdt = piH - (betaHH * SH * IH) - (betaTH * SH * IT) - (muH * SH)
dEHdt = (betaHH * SH * IH) + (betaTH * SH * IT) - ((deltaH1 + muH) * EH)
dIHdt = (deltaH1 * EH) - (alpha + gamma + muH) * IH
dRHdt = (alpha * IH) - (muH * RH)
dSTdt = piT - (betaTTV * ST * IT) - (betaTTH * ST * IT) - (muT * ST)
dETdt = (betaTTV * ST * IT) + (betaTTH * ST * IT) - ((deltaT + muT) * ET)
dITdt = (deltaT * ET) - (muT * IT)
# return results
list(c(dSHdt, dEHdt, dIHdt, dRHdt, dSTdt, dETdt, dITdt))
}
params = c(betaHH = .2, betaTH = 1.2, betaTTV = .4, betaTTH = 4, gamma = .15, muH = (1/79 * 365), muT = (1/2 * 365), piH = 18.5, piT = 100, deltaH1 = 1/2, deltaT = 1/1, alpha = 1/15)
# time to start solution
time = seq(from = 0, to = 25, by = 1)
#initialize initial conditions
initialX = c(SH = 999, EH = 0, IH = 0, RH = 0, ST = 2000, ET = 0, IT = 2)
library(tidyverse)
data = ode(y = initialX, times = time, func = CCHFSimpleSIR, parms = params)%>%
as.data.frame()
# graph data
ggplot(data, aes(x=time, y= initialX)) + geom_line()
```

Hi! This is my first time programming in R and I am trying to simulate an SIR model. I am getting an error on my last line " Aesthetics must be either length 1 or the same as the data (26): y". If anyone could help me understand this error that would be great thank you!